posterior distribution

Neural Sketch Learning for Conditional Program Generation ICLR 2018 PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits NeurIPS 2018 Predictive Approximate Bayesian Computation via Saddle Points NeurIPS 2018 Probabilistic Joint Face-Skull Modelling for Facial Reconstruction CVPR 2018 Scalable Bayes via Barycenter in Wasserstein Space JMLR 2018 The Hierarchical Adaptive Forgetting Variational Filter ICML 2018 The promises and pitfalls of Stochastic Gradient Langevin Dynamics NeurIPS 2018 Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning NeurIPS 2018 The Uncertainty Bellman Equation and Exploration ICML 2018 Transfer of Value Functions via Variational Methods NeurIPS 2018 VAE with a VampPrior AISTATS 2018 Variational Inference of Disentangled Latent Concepts from Unlabeled Observations ICLR 2018 Variational Network Quantization ICLR 2018 Yes, but Did It Work?: Evaluating Variational Inference ICML 2018 A Strongly Quasiconvex PAC-Bayesian Bound ALT 2017 Ensemble Sampling NeurIPS 2017 Fast Fourier Color Constancy CVPR 2017 Introspective Evaluation of Perception Performance for Parameter Tuning without Ground Truth RSS 2017 Learning Unknown Markov Decision Processes: A Thompson Sampling Approach NeurIPS 2017 Linear Time Computation of Moments in Sum-Product Networks NeurIPS 2017 On Markov chain Monte Carlo methods for tall data JMLR 2017 Overcoming Catastrophic Forgetting by Incremental Moment Matching NeurIPS 2017 Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models JMLR 2017 Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NeurIPS 2017 Probabilistic Path Hamiltonian Monte Carlo ICML 2017